A New Programming Language for Data Science

Did you know there is a new programming language out specifically for data science? It's called DACSLang and has some pretty cool features!

DACS is natively multi-threaded, so all code written in DACS runs in parallel, with zero extra overhead. Unfortunately only one thread actually does any work while the rest sleep, so there are no performance increases, but this is pretty common for group work. DACS also has some syntactic differences from high level C based languages such as C++ and Java. The try/catch keywords being are replaced with try/fail, for example:

            try
            {
                // do something ...
            }
            fail
            {
                // switch to a business degree
            }
        

DACS uses curly braces `{` to denote the start and end of code blocks, but is also whitespace sensitive like Python, so make sure you use the correct indentation. DACS files are named with the .dacs file ending, but are compiled into .dke files because the compiler guy hasn't got round to updating all his code from the name change last year.

So why not give DACS a go?!